Software for micromorphometric characterization of soil pores obtained from 2-D image analysis

Miguel Cooper,Vitor Boschi Da Silva,Laura Fernanda Simões Da Silva,Raquel Stucchi Boschi

doi:10.1590/0103-9016-2015-0053

Abstract

Studies of soil porosity through image analysis are important to an understanding of how the soil functions. However, the lack of a simplified methodology for the quantification of the shape, number, and size of soil pores has limited the use of information extracted from images. The present work proposes a software program for the quantification and characterization of soil porosity from data derived from 2-D images. The user-friendly software was developed in C++ and allows for the classification of pores in terms of size, shape, and combinations of size and shape. Using raw data generated by image analysis systems, the software calculates the following parameters for the characterization of soil porosity: total area of pore (Tap), number of pores, pore shape, pore shape and pore area, and pore shape and equivalent pore diameter (EqDiam). In this paper, the input file with the raw soil porosity data was generated using the Noesis Visilog 5.4 image analysis system; however other image analysis programs can be used, in which case, the input file requires a standard format to permit processing by this software. The software also shows the descriptive statistics (mean, standard deviation, variance, and the coefficient of variation) of the parameters considering the total number of images evaluated. The results show that the software is a complementary tool to any analysis of soil porosity, allowing for a precise and quick analysis.

Highlights

Soil micromorphology is becoming widely used for the characterization of soil porosity with the aid of digital techniques for the processing and analyzing of images
Using raw data generated by image analysis systems, the software calculates the following parameters for the characterization of soil porosity: total area of pore (Tap), number of pores, pore shape, pore shape and pore area, and pore shape and equivalent pore diameter (EqDiam)
A software program, named SPIA (Soil Pore Image Analysis), was developed to classify soil porosity according to size, shape or the combination of size and shape from raw data obtained by image analysis

Summary

Introduction

Soil micromorphology is becoming widely used for the characterization of soil porosity with the aid of digital techniques for the processing and analyzing of images. There are studies addressing soil compaction (Murphy et al, 1977a; Curmi et al, 1994; Clemente et al, 2005; Bagheri et al, 2012), cultivation and management systems (Pagliai et al.,1983; Pagliai et al, 1984; Pagliai et al, 2003; Soares et al, 2005; Juhász et al, 2007; Rasa et al, 2012), effect of wetting and drying cycles on the structure of tropical soil (Pires et al, 2008), soil structure regeneration with and without selfmulching

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